Towards a breakthrough Speaker Identification approach for Law Enforcement Agencies: SIIP

This paper describes SIIP (Speaker Identification Integrated Project) a high performance innovative and sustainable Speaker Identification (SID) solution, running over large voice samples database. The solution is based on development, integration and fusion of a series of speech analytic algorithms which includes speaker model recognition, gender identification, age identification, language and accent identification, keyword and taxonomy spotting. A full integrated system is proposed ensuring multisource data management, advanced voice analysis, information sharing and efficient and consistent man-machine interactions

Towards a breakthrough speaker identification approach for law enforcement agencies

This paper describes a high performance innovative and sustainable Speaker Identification (SID) solution, running over large voice samples database. The solution is based on development, integration and fusion of a series of speech analytic algorithms which includes speaker model recognition, gender identification, age identification, language and accent identification, keyword and taxonomy spotting. A full integrated system is proposed ensuring multisource data management, advanced voice analysis, information sharing and efficient and consistent man-machine interactions

The European language technology landscape in 2020: Language-centric and human-centric AI for cross-cultural communication in multilingual Europe

Multilingualism is a cultural cornerstone of Europe and firmly anchored in the European treaties including full language equality. However, language barriers impacting business, cross-lingual and cross-cultural communication are still omnipresent. Language Technologies (LTs) are a powerful means to break down these barriers. While the last decade has seen various initiatives that created a multitude of approaches and technologies tailored to Europe’s specific needs, there is still an immense level of fragmentation. At the same time, AI has become an increasingly important concept in the European Information and Communication Technology area. For a few years now, AI – including many opportunities, synergies but also misconceptions – has been overshadowing every other topic. We present an overview of the European LT landscape, describing funding programmes, activities, actions and challenges in the different countries with regard to LT, including the current state of play in industry and the LT market. We present a brief overview of the main LT-related activities on the EU level in the last ten years and develop strategic guidance with regard to four key dimensions.publishedVersio

European Language Grid: A Joint Platform for the European Language Technology Community

Europe is a multilingual society, in which dozens of languages are spoken. The only option to enable and to benefit from multilingualism is through Language Technologies (LT), i.e., Natural Language Processing and Speech Technologies. We describe the European Language Grid (ELG), which is targeted to evolve into the primary platform and marketplace for LT in Europe by providing one umbrella platform for the European LT landscape, including research and industry, enabling all stakeholders to upload, share and distribute their services, products and resources. At the end of our EU project, which will establish a legal entity in 2022, the ELG will provide access to approx. 1300 services for all European languages as well as thousands of data sets

European Language Grid: An Overview

With 24 official EU and many additional languages, multilingualism in Europe and an inclusive Digital Single Market can only be enabled through Language Technologies (LTs). European LT business is dominated by hundreds of SMEs and a few large players. Many are world-class, with technologies that outperform the global players. However, European LT business is also fragmented – by nation states, languages, verticals and sectors, significantly holding back its impact. The European Language Grid (ELG) project addresses this fragmentation by establishing the ELG as the primary platform for LT in Europe. The ELG is a scalable cloud platform, providing, in an easy-to-integrate way, access to hundreds of commercial and non-commercial LTs for all European languages, including running tools and services as well as data sets and resources. Once fully operational, it will enable the commercial and non-commercial European LT community to deposit and upload their technologies and data sets into the ELG, to deploy them through the grid, and to connect with other resources. The ELG will boost the Multilingual Digital Single Market towards a thriving European LT community, creating new jobs and opportunities. Furthermore, the ELG project organises two open calls for up to 20 pilot projects. It also sets up 32 national competence centres and the European LT Council for outreach and coordination purposes

A framework for the support of cross-media communication during (natural) disasters

Die Arbeit widmet sich der Entwicklung eines (konzeptionellen) Frameworks und Modells, das generisch genug ist, um die große Vielfalt von Datenquellen und Akteuren darzustellen, die typischerweise bei solchen Vorfällen anzutreffen sind, wobei insbesondere die Verbindungen zwischen ihnen berücksichtigt werden. Die Darstellung all dieser Elemente innerhalb eines einzigen Modells bietet den Vorteil, Gemeinsamkeiten zu erkennen und zu nutzen, um schnell auf neu entstehende Plattformen reagieren und Daten effizient und umfassend verarbeiten zu können. Die Entwicklung des Modells erfolgt inkrementell; es wird dabei untersucht, welche generischen Elemente und Attribute existieren, welche Verbindungen zwischen ihnen bestehen und wie die einzelnen Medien und Plattformen dargestellt werden können. Das Modell ermöglicht es, die verschiedenen Arten von Elementen aus relevanten Plattformen und Medien, welche in früheren Arbeiten, durch Gespräche mit Hilfsorganisationen und Betrachtung des Stand-der-Technik bestimmt wurden, in einem medienübergreifenden Ansatz zu kombinieren und das daraus resultierende Framework für die Analyse der Kommunikation im Katastrophenfall anzuwenden. Darüber hinaus bietet es eine Referenz, anhand derer sich neue Technologien und Tools vergleichen lassen und welche zu Planungs- und Managementaktivitäten herangezogen werden kann.The research performed within this thesis approaches the topic of disaster communication from a novel angle: its focus is the development of a framework – a conceptual structure - and model generic enough to represent the wide variety of data-sources and actors typically encountered during such incidents, taking into special consideration the connections between them. Their joint representation within a single model provides the advantage to detect commonalties and capitalize on them, to quickly be able to respond to newly emerging platforms, accommodate them within the model and process data efficiently and comprehensively. The model is developed in an incremental manner, investigating what these generic elements and their attributes are, which connections exist between them and how the individual media and platforms can be represented. It allows to combine the different kinds of elements from relevant platforms and media in a cross-media approach and can be applied for analysis of communication during disasters and to inform planning activities

SIIP: An Innovative Speaker Identification Approach for Law Enforcement Agencies

This paper describes SIIP (Speaker Identification Integrated Project) a high performance innovative and sustainable Speaker Identification (SID) solution, running over large voice samples database. The proposed solution is based on development, integration and fusion of a series of individual speech analytic algorithms which includes speaker recognition, gender/age/language/accent identification, large vocabulary multilingual automatic speech-to-text transcription, expanded by keyword and taxonomy spotting. A full integrated system is proposed ensuring multisource data management, advanced voice analysis, information sharing and efficient and consistent man-machine interactions. The implemented system presented in this paper has been introduced to the international community of law-enforcement agencies animated by Interpol. Preliminary feedbacks collected from end-users indicate their satisfaction with the proposed architecture and its functionality. They also expressed different exploitation needs that we will try to take into account in a further work